Application of machine learning boosting and bagging methods to predict compressive and flexural strength of marble cement mortar
Z Chen - Materials Today Communications, 2024 - Elsevier
Compressive (CS) and flexural strength (FS) of sustainable mortar made from waste
materials were estimated using machine learning (ML) tools. Ensemble ML techniques …
materials were estimated using machine learning (ML) tools. Ensemble ML techniques …
[HTML][HTML] Investigating the effectiveness of carbon nanotubes for the compressive strength of concrete using AI-aided tools
H Sun, MN Amin, MT Qadir, SU Arifeen, B Iftikhar… - Case Studies in …, 2024 - Elsevier
Sustainable development in the building industry can be achieved through the use of
versatile cementitious composites. Thus, incorporating nanoparticles into cement …
versatile cementitious composites. Thus, incorporating nanoparticles into cement …
Enhanced bond strength prediction in corroded reinforced concrete using optimized ML models
TA Nguyen, SH Trinh, HB Ly - Structures, 2024 - Elsevier
In reinforced concrete (RC) structures, the reduction of bond strength (BS) between
reinforcing bars and concrete is significantly influenced by corrosion, resulting in a notable …
reinforcing bars and concrete is significantly influenced by corrosion, resulting in a notable …
Bond strength between recycled aggregate concrete and rebar: Interpretable machine learning modeling approach for performance estimation and engineering …
Recycled aggregate concrete has a large potential for application as a sustainable building
material. To assist in guiding the engineering design of this low-carbon material, the …
material. To assist in guiding the engineering design of this low-carbon material, the …